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Wearables represent an excellent opportunity for developers to bring always-on, always-connected experiences to mobile and IoT users. According to IDC, wearable sales are projected to experience double digit growth in 2019, and a compound annual growth rate (CAGR) of 11.6% over the next five years. So this space is definitely worth a look!
Co-written with Hongqiang Wang and Alex Bourd
Continuing our series on OpenCL optimization on the Qualcomm® Adreno™ GPU, we describe a multi-step optimization for apps that use the Epsilon filter. We demonstrate that OpenCL optimizations of the Epsilon filter on the GPU are device-specific.
Qualcomm Developer Network November Developer of the Month is Henry Ruiz. Henry is from Cali, Colombia where he completed his Computer Systems Engineering degree from Antonio Jose Camacho University. In 2017 he completed a Master’s degree in Artificial Intelligence from the Autonomous University of Baja California (UABC). He has experience in Machine Learning, Deep Learning, Computer Vision and Artificial Intelligence.
Are you ready to create IoT solutions like home monitoring cameras, enterprise security cameras and smart home devices with built-in artificial intelligence (AI)? The hardware, software and cloud components are now in place for you to get started.
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